A methodology is presented for designing waterjet pumps to meet multi-objective design criteria. The method combines a 3D inviscid inverse design method with multi-objective genetic algorithm to design pumps which meet various aerodynamic and geometrical requirements.
The main design objectives are improving cavitation performance and reducing leading edge sweep. The optimization is performed subject to certain constraints on Euler head, throat area, thickness and meridional shape so that the resulting pump can meet both design and off-design conditions. The CFD results confirm the main outcomes of the optimization process.